Cover of Machine Learning for Time Series
4.2 (63 reviews)

Machine Learning for Time Series

1st Edition

Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods. Covers classical techniques through deep learning approaches.

Published October 2021 · Packt Publishing

Time series forecastingAnomaly detectionDeep learning methodsPython implementations
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What Readers Are Saying

Selected 5-star reviews for "Machine Learning for Time Series: 1st Edition"

"Excellent coverage of modern time series methods. A must-read for data scientists working with temporal data."

Amazon Customer

"Well-written and thorough. Covers classical methods and deep learning approaches with clear Python examples."

Amazon Customer

"Finally a book that brings together all the modern ML approaches for time series in one place. Highly recommended."